Python Basics to Practice Part 5

This course is designed to help learners prepare for the Information Processing Industrial Engineer written exam in a systematic and planned manner. It is structured to develop not only the basic knowledge required for exam preparation, but also logical thinking skills and problem-solving abilities, enabling students to confidently take on the written exam. Furthermore, by thoroughly mastering the learning content covered in this course, students can establish the foundation necessary for obtaining the Information Processing Industrial Engineer certification.

This is a test preparation course to obtain the MOS Excel 2016 Expert certification.

This is a series of video lectures for AWS beginners and college students enrolled in AWS Educate. We will briefly introduce the AWS registration process and free tier services.

This is a free Unity basics course by Unity Hub root owner Dong-geun Joo.

I would like to introduce you to the Premier course by Nori Island on YouTube.

This is a basic iOS language course taught by LAte Developer on YouTube.

This is an assembler course provided by Smoothie TV.

This is a course to learn the Python programming language with 100 problems. This course consists of a total of 3 parts, and in Part 3, you will solve problems on the topics of OPP, algorithms, strings, modules, and certification preparation.

This is a course to learn the Python programming language with 100 problems. This course consists of a total of 3 parts, and in Part 2, you will solve problems on the topic of arrays and functions.

This is a course to learn the Python programming language with 100 problems. This course consists of a total of 3 parts, and in Part 1, you will solve problems on the topics of variables, data types, operators, conditional statements, and loops.

This course is a **practical-focused lecture** that covers how to apply **conversational AI (ChatGPT, etc.)** to actual company work. Beyond simple AI usage methods, it is structured to enable learning of specific cases such as work automation, document creation, idea generation, and data analysis assistance that can be utilized in various departments and job environments. Through this course, learners will master methods to streamline repetitive and time-consuming tasks with AI, and experience smart workflows that collaborate with AI. Additionally, by understanding AI's strengths and limitations, it helps make correct decisions in actual business situations. Upon completing this course, you will be able to utilize conversational AI including ChatGPT as a tool to enhance work productivity, which will serve as an important foundation for securing competitiveness in future work environments.

"This is a course for learning the overall usage of Notion, an all-in-one productivity tool that enables efficient management of work and life in a Mac environment. You can learn step-by-step from Notion's basic functions to databases, automation, AI utilization, and practical template creation, acquiring work and self-management methods optimized for Mac users. Through a hands-on curriculum, you can increase productivity in both daily life and work."

This is a course to learn in various languages how to call various open data provided by the public data portal from various programming languages and how to use JSON data provided as a result of the call.

This course is designed to help you learn the basic concepts of algorithms through JAVA programming. Rather than stopping at simple theoretical explanations, it is structured so that you can naturally understand various algorithms by implementing them directly in code. Students will learn step-by-step, starting from basic sorting and searching algorithms to more advanced ones, while simultaneously developing problem-solving skills and programming logic. Furthermore, by integrating JAVA syntax and usage through practice-oriented learning, you can master both algorithm theory and practical implementation at the same time. Through this course, learners will not only establish a solid understanding of algorithms but also acquire the capability to implement them using JAVA, gaining practical programming skills that can be applied to academics, employment, and professional work.

This course teaches you how to write safe and reliable code in the software development process. Rather than simply stopping at feature implementation, you'll learn programming principles and techniques that can prevent security vulnerabilities and ensure stability. Through hands-on practice and case studies, you can understand security threats that may occur in real development environments and acquire safe coding techniques such as coding rules, input validation, exception handling, and memory management to prevent them. By taking this course, developers will enhance the completeness of their code while gaining practical capabilities to develop software with security and reliability.

You can effectively study the contents of the Information Security Engineer practical exam questions and obtain the Information Security Engineer practical qualification.

This is a lecture on Rhino 3D, which is a basic tool for product design.

Let's create a shopping mall with WordPress

I help ordinary people who know nothing to create a homepage by just following my instructions!

This is a course where you can study data structures and algorithms along with the object-oriented language C++.

Python with easy and intuitive grammar! Learn Python, a renowned programming language for beginners, from the basics to practice! In this lecture, you will learn how to connect Python to a database and create a mini Photoshop.

Python with easy and intuitive grammar! Learn Python, a renowned introductory programming language, from the basics to practice! In this course, you will learn object-oriented programming.

From Python fundamentals to practical data analysis! You will learn practical Python skills for processing, visualizing, and analyzing data while solving business problems.

Solve coding test problems using Python.

For those who want to learn data science, big data, and web crawling, (1) we summarize the most essential Python syntax in a short time, and (2) you'll become familiar with Python and crawling through practical crawling programming.

It would be efficient to automate IT security tasks using Python, wouldn't it? This course follows hands-on practice, applying Python and web Flask development to automate tasks, idea by idea.

This course will help you quickly learn the core concepts of Python and the Pandas library. Improve your programming skills by solving the practice problems at the end of each part!

"Just like the real thing! Master job interviews, coding competitions, and your skills all at once." Perfect preparation for corporate coding tests! Improve your skills from basic to intermediate! This course contains only the essentials necessary for coding test preparation. Structured step-by-step from basic concepts to practical problems, you can improve your programming skills and practical sense at the same time.

This is a Python coding test lecture centered on problem solving, tailored to those who are new to coding tests.

We will develop a web app that collects data using concurrent/parallel programming in Python, loads it into MongoDB, analyzes it, and visualizes the collected data using FastAPI, a modern web framework. In the process, you will learn and understand Python concurrent/parallel programming using coroutines, multi-threading, and multi-processing, and understand how to use them to improve Python's performance. We will help you apply Python concurrent/parallel codes directly to your work. We will not only teach you how to develop and end, but also how to deploy and operate an actual app on the AWS cloud.

Anyone can easily create a Python game using the Pygame library, starting from zero base.

Learn NoSQL technology for handling big data, one of the fundamental skills in full-stack and data science technologies used by modern startups. MongoDB is the easiest and fastest NoSQL technology to utilize. In this course, you will learn the basics of MongoDB in a short time and master the skills to handle and utilize MongoDB with Python.

Develop a deep understanding and intuition for calculus. Solve problems and implement algorithms by hand and in Python.

A Complete End-to-End Developer Journey — Build Lightning-Fast APIs, Modern Frontend Interfaces, Real Projects, Authentication Systems, Dashboards & Full Deployments Using FastAPI, React, and Vibe Coding Techniques.

You can easily and enjoyably understand Python programming with games. This is a lecture that even children in elementary and middle school can follow, so parents and teachers will find many places to use it if they learn it. :)

Do you manually type in numerous commands every time you build a complex project or create a deployment package? Currently, most open-source projects use build automation scripts to save the trouble of typing commands. Do you also find building tedious? Then use this course to automate your builds and increase your work efficiency.

Learn network programming from scratch, fully utilizing Python and ChatGPT. Rather than tedious conceptual explanations, the focus is on students directly writing network code through practical exercises and personally verifying how their written programs operate. You can acquire skills ranging from basic network practicals to network technologies applicable in real-world scenarios, and build deep understanding and proficiency through exercises dealing with various protocols and tools. Furthermore, by leveraging ChatGPT, students can have a memorable learning experience without feeling difficulty or boredom.

QML is a programming interpreter language for creating UIs provided by Qt. It is similar to JSON and can use JavaScript. Using QML and Python together, you can easily develop modern, advanced UIs.

This course covers the process of automating algorithmic trading in local and cloud environments, and focuses on hands-on practice.

Learn Python coding. Learn design scripting with Rhino3d Grasshopper. Learn creative coding such as computational thinking, parametric, and generative design.